Intelligent urban ecological suitability system based on pattern recognition

Issue title: Special Section: Intelligent Algorithms for Complex Information Services - Recent Advances and Future Trends

Guest editors: Andino Maseleno, Xiaohui Yuan and Valentina E. Balas

Article type: Research Article

Authors: Gao, Yuanheng^a | Wang, Leilei^b | Zhang, Heqing^{c; *}

Affiliations: [a] Guilin Tourism University, Guilin, China | [b] Guangzhou Panyu Polytechnic, Guangzhou, China | [c] Tourism College of Guangzhou University, Guangzhou, China

Correspondence: [*] Corresponding author. Heqing Zhang, Tourism College of Guangzhou University, Guangzhou, China. E-mail: lyzhq8007@gzhu.edu.cn.

Abstract: Today, with the rapid development of urbanization, the ecological and environmental problems of the city have become increasingly serious and have become the focus of the world. The most important issue facing the majority of ecological workers is how to apply the theory of ecology to solve today’s problems. The various environmental problems faced in urban life and the sustainable development of the city’s ecological civilization. How ecological planning is used to coordinate the relationship between people and the natural environment and natural resources is increasingly gaining attention and expanding the range and scope of its applications. However, as an ecological suitability analysis based on ecological planning, many analytical methods and systems are still being explored and developed due to the geographical complexity and factor diversity involved. In recent years, with the rapid development of computer hardware and software technology, pattern recognition has received more and more attention, pattern recognition and image processing technology has become more and more perfect, and has been successfully applied in more and more fields. This thesis begins to focus on the urban ecological suitability content based on pattern recognition technology and image processing. The main contents of this thesis include: introducing the background of urban ecological suitability and the status quo of ecological suitability analysis and existing research methods. According to the structure of the urban ecosystem and the national standards for the construction of ecological systems and ecological cities, an indicator system for ecological suitability evaluation is established. A pattern recognition system and common pattern recognition and image processing methods are introduced. Based on some common evaluation methods and models, the pattern recognition technology theory and image processing technology are introduced into the urban ecological suitability analysis. Based on the image system theory and vector projection principle, the ecological suitability analysis is established. Associated projection model. The model considers the evaluation sample and the quality standards at each level as vectors, and respectively projects the same vector ideal. Based on establishing the ecological suitability evaluation index system and standards, the ecological suitability was evaluated by using the model.

Keywords: Ecological suitability, image processing, grey pattern recognition, urban ecological environment

DOI: 10.3233/JIFS-179986

Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 4, pp. 5009-5016, 2020